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• At the charging stations, daily concentrations of dangerous air particles, known as PM2.5, ranged from 7.3 to 39.0 micrograms per cubic meter.
• Urban sites without fast-charging stations had concentrations of PM2.5 ranging from only 3.6 to 12.4 micrograms per cubic meter.
• The tiny particles likely come from particle resuspension around Direct Current Fast Charging power cabinets. Cooling fans designed to prevent the electronics from overheating can also stir up dust and particles from internal surfaces.

Artificial intelligence (AI) is reshaping the criminal justice system. Law enforcement agencies are using it to predict crime, expedite response, and streamline routine tasks. One of the most promising applications can be found in body camera programs, where AI is transforming unmanageable archives of footage into active sources of insight.

AI can now analyze hundreds of hours of video in seconds. Early pilot programs suggest that these video-reviewing tools, when guided by human oversight, can uncover critical evidence that might otherwise be overlooked, reduce pretrial bottlenecks, and identify potential instances of officer misconduct. But these benefits come with risks. Absent clear guardrails, the same technologies could drift toward government overreach, blurring the line between public safety and state surveillance.

The line between public security and state surveillance lies not in technology, but in the policies that govern it. To responsibly harness AI and mitigate these risks, we recommend that agencies and policymakers:

• Establish and enforce clear use policies. Statewide rules for body camera use and AI governance ensure consistency across jurisdictions, particularly in areas like body camera activation, evidence sharing, and public disclosure.
• Pair technology with human oversight. AI should enhance—not replace—human decision-making. Final judgments must rest with trained personnel, supported by independent policy oversight from civilian review boards.
• Safeguard civil liberties. Safeguards must be in place to protect individual rights, limit surveillance overreach, and ensure data transparency. For example, limiting facial recognition during constitutionally protected activities like protests will help ensure AI is aligned with democratic ideals.

With the right guardrails in place, AI can elevate body cameras from after-action archival tools to always-on intelligence tools, informing decisions in the moment, when it matters most.

The Basque Country is implementing Quantus Skin in its health clinics after an investment of 1.6 million euros. Specialists criticise the artificial intelligence developed by the Asisa subsidiary due to its "poor” and “dangerous" results. The algorithm has been trained only with data from white patients.

[July 2025] Updates to YouTube Partner Program (YPP) Monetization policies: In order to monetize as part of the YouTube Partner Program (YPP), YouTube has always required creators to upload “original” and "authentic" content. On July 15, 2025, YouTube is updating our guidelines to better identify mass-produced and repetitious content. This update better reflects what “inauthentic” content looks like today.

Large language models (LLMs) like ChatGPT can generate and revise text with human-level performance. These models come with clear limitations, can produce inaccurate information, and reinforce existing biases. Yet, many scientists use them for their scholarly writing. But how widespread is such LLM usage in the academic literature? To answer this question for the field of biomedical research, we present an unbiased, large-scale approach: We study vocabulary changes in more than 15 million biomedical abstracts from 2010 to 2024 indexed by PubMed and show how the appearance of LLMs led to an abrupt increase in the frequency of certain style words. This excess word analysis suggests that at least 13.5% of 2024 abstracts were processed with LLMs. This lower bound differed across disciplines, countries, and journals, reaching 40% for some subcorpora. We show that LLMs have had an unprecedented impact on scientific writing in biomedical research, surpassing the effect of major world events such as the COVID pandemic.